code: def clip(a, a_min, a_max, out=None):
      """Clips the values of an array to a given interval.
  
      This is equivalent to ``maximum(minimum(a, a_max), a_min)``, while this
      function is more efficient.
  
      Args:
          a (cupy.ndarray): The source array.
          a_min (scalar, cupy.ndarray or None): The left side of the interval.
              When it is ``None``, it is ignored.
          a_max (scalar, cupy.ndarray or None): The right side of the interval.
              When it is ``None``, it is ignored.
          out (cupy.ndarray): Output array.
  
      Returns:
          cupy.ndarray: Clipped array.
  
      .. seealso:: :func:`numpy.clip`
  
      Notes
      -----
      When `a_min` is greater than `a_max`, `clip` returns an
      array in which all values are equal to `a_max`.
      """
      if fusion._is_fusing():
          return fusion._call_ufunc(
              _math.clip, a, a_min, a_max, out=out
          )
  
      # TODO(okuta): check type
      return a.clip(a_min, a_max, out=out)
  
file_path: cupy/cupy/_math/misc.py
imports: import cupy
  import cupyx.scipy.fft
  from cupy import _core
  from cupy._core import _routines_math
  from cupy._core import fusion
  from cupy.lib import stride_tricks
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: clip(a, a_min, a_max, out) and returns: a, fusion